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Bioinformatics Daily
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Syed Lokman
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Basics
Basics Tutorials
About BioinformaticsDaily
Phylogenetics
Projects for Beginners
Sequence Alignment
Short Theory
Statistical Method
Structural Bioinformatics
Workflow Management
Biological-databases
Statistics
Omics
Omics Tutorials
High-throughput Technology
Systems & Networks
Python
BioConductor
R
Metagenomics
NGS
CADD
CADD Tutorials
Genetic Variation
Drug Informatics
ML
ML Tutorials
ML in Bioinformatics
Programming
Programming Tutorials
Cloud
R
Courses
Basics
Omics
CADD
ML
Programming
Courses
Bioinformatics 101
biological-databases
1. What is a database?
2. Biological Database
3. Database Search & Retrieval
4. API access to Databases
5. Major Biological Databases
6. Data Submission & Curation
8. Hands-on with NCBI Tools
statistics
Basic Statistics in R
Statistical Method
1. Statistics
2. Estimates
3. Probability & Distribution
4. Hypothesis Test
5. Statistical Analysis
Sequence Alignment
1. Pairwise Sequence Alignment
2. Multiple Sequence Alignment
3. BLAST and its variants
Phylogenetics
1. Molecular evolution concepts
2. Phylogenetic tree construction
3. Ancestral reconstruction
4. Molecular clock estimation
Structural Bioinformatics
1. Structural Bioinformatics
2. Structural Prediction
13. Protein structure hierarchy
14. Structure visualization tools (PyMOL, Chimera)
15. Basic structure prediction methods
29. Mass spectrometry data analysis
30. Protein identification and quantification
Workflow Management
1. Workflow Management
2. Galaxy
3. KNIME
4. LINCS tools
5. Anduril
6. NextFlow
Short Theory
Protein
2. Central Dogma of Molecular Biology
3. Gene Regulation and Expression
4. DNA, RNA, and Protein Structure
9. Genome Structure and Organization
All About Bioinfo
Projects for Beginners
Codon Usage Analysis
About BioinformaticsDaily
MD Simulation Services
Services
Terms and Conditions
Privacy Policy
Epigenetics & Transcription Regulation
Omics
07. High-throughput Technology
Database
1. Navigating NCBI Databases
10. Systems & Networks
Systems & Networks
31. Metabolic pathway analysis
32. Integration of proteomics and metabolomics data
37. Biological network representations
38. Network analysis and visualization
12. Python
Data handling using Python
15. BioConductor
Differential gene expression analysis
25. RNA-Seq data analysis
28. Single-cell RNA-Seq analysis
66. ExpressionSet vs SummarizedExperiment vs GRanges
67. Bioconductor
68. biomaRt in R
69. SummarizedExperiment in R
70. ExpressionSet in Bioconductor
2. Downloading Data from Gene Expression Omnibus (GEO) using GEOquery
2. R
Basics of R and R Studio
NGS
10. Gene Prediction and Annotation
11 Comparative genomics
12. Next-generation sequencing technologies
21. NGS data quality control
22. Read mapping and alignment
23. Variant calling and annotation
24. Genome assembly techniques
27. Alternative splicing detection
CADD
05. Genetic Variation
Database
Drug Informatics
Drug Informatics
16. Protein-ligand interactions
Week 8: ML Overview
Week 9: Feature Engineering
Week 10: Model Evaluation
Week 11: Bias & Variance
AI/ML
09. ML in Bioinformatics
ML in Bioinfo
cloud
Week 12: Colab Basics
Week 13: R in Colab
r
Week 3: R Environment
Week 5: EDA & Vis (Pt 1)
Week 6: EDA & Vis (Pt 2)
BIOL4000L (Summer '26)
Final Capstone (20%)
AI/ML
1 min read
Welcome to the AI/ML section. Here you will find resources on:
Machine Learning in Bioinformatics
Drug Design using AI
Biomarker Discovery
Deep Learning applications
Continue Learning
ML in Bioinfo
A Short Theory Recap on Protein.
Week 11: The Bias-Variance Trade-off
Master the most important concept in machine learning. Understand overfitting, underfitting, and how to find the sweet spot for your models.